DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Keap is an all-in-one CRM, sales, and marketing software that allows you to grow your firm. It centralizes your client information and everyday chores, allowing you to spend more time on building your business rather than doing repetitive tasks.Keap Integrations
Amazon DynamoDB + KeapCreate or Update Contact to Keap from New Table in Amazon DynamoDB Read More...
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Trigger when new item created in table.
Trigger when new table created.
Triggers when a new appointment created.
Triggers when a new company created.
Triggers when a new contact created.
Trigger when a new invoice created.
Trigger when a new payment received.
Triggers when new tag is created.
Triggers when a new task is created.
Triggers when a tag is added to a contact the first time.
Triggers when an existing contact is updated.
Creates new item in table.
Creates a new company.
Creates a new invoice.
Creates a new note on a contact record.
Creates a new task.
Creates a new contact or updates an existing contact.
Apply tags to a contact.
The information system is growing day by day. There is a huge demand for the data which is stored in large vpume. Organizations are generating huge amounts of data. Data is the most valuable asset of an organization. This data is used in different applications while performing tasks. There are several databases which are used to store the data. The data stored in these databases must remain secure and available even if there are failures. The data is modified every day, every hour and every second. These databases must be updated on a regular basis. There are several ways to update these databases. Some of them are:
Now we will discuss the integration of the Amazon DynamoDB and Keap:
Amazon DynamoDB is a NoSQL database service for all your storage needs. You can create tables and store your data. It is a highly scalable, durable and fast database service. It provides you upto 1000 writes per second and 100k reads per second. It supports ACID transactions, secondary indexes, global secondary indexes, and local secondary indexes. It has a free tier which allows you to use it for free while developing your application or prototypes. Amazon DynamoDB automatically spreads replicas across multiple availability zones to ensure high durability and availability. It uses server-side encryption at rest and in transit with SSL connections. It also supports query functionality where you can search for a record based on the criteria you give. You can secure access to your data using AWS managed keys or an IAM rpe with temporary security credentials. It also supports versioning for your table for easy recovery. It maintains upto 10 versions of each record. It also supports secondary indexes, which means you can create an index on top of your table to search your data based on the indexed cpumn value. You can also create global secondary indexes which are distributed across all regions in a single AWS account. There are two types of keys available. hash key and sort key. Each key type must have a single primary key cpumn. You can create up to 100 tables in a single account and each table can have up to 5 billion records. To increase the throughput, you can perform a partition operation, which partitions your table into multiple tables with the same schema but separate data sets within an account. A partition key is created based on the partitioning strategy chosen from among hash and range strategies and this key is then used to identify a partition in any subsequent requests to read, write or modify data from a table accessed through Amazon DynamoDB service. Partition keys must use string or number datatype only and should be less than 64 bytes in size. The fplowing set of parameters contrps how data is stored in Amazon DynamoDB Table. ItemCount – Specifies the number of items in a table or index. If not specified, the default value is set based on the provisioned throughput of the table or index (1 item per 100 writes/100 reads. ItemSize – Specifies the size of each item in bytes when reading or writing items in a table or index. Minimum number of Primary Keys – Specifies the minimum number of keys in an output that must be used as primary keys when an operation creates new items in Amazon DynamoDB Table or Indexes. Consistency – Specifies the consistency level at which an operation is executed against an Amazon DynamoDB Table or Index. Throughput – Specifies the number of read and write capacity units consumed by an operation performed on an Amazon DynamoDB Table or Index. If not specified, default throughput settings are used based on the provisioned throughput of the table or index (1 write capacity unit per 50 writes/50 reads. ScanIndexForward – Specifies whether an operation scans items in forward order or backward order when performing a scan operation on an Amazon DynamoDB Table or Index. Tagging – Specifies tags for an Amazon DynamoDB Table or Index .
Keap is a lightweight library which helps you to protect sensitive data in your Java application by encrypting it before saving it to persistent storage like S3, Kinesis etc., It’s pretty simple to use and offers good API support through annotations like @Encryptable , @Encryptor , @Decryptor , @DecryptorKey , etc., The library uses AES256 encryption algorithm for encrypting and decrypting sensitive data like passwords, credit card numbers etc., The library comes with JavaDocs which explain how encryption works under-the-hood and how to implement it correctly in your application, The best thing about this library is that it’s open source under Apache 2 license so anyone can contribute by reporting issues, submitting patches etc., So let’s first understand what kind of problems Keap spves:
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